Literature DB >> 29235112

Heat shock protein 70 and tumor-infiltrating NK cells as prognostic indicators for patients with squamous cell carcinoma of the head and neck after radiochemotherapy: A multicentre retrospective study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG).

Stefan Stangl1,2,3, Nikoletta Tontcheva4, Wolfgang Sievert1,2,3, Maxim Shevtsov1,2,3, Minli Niu1, Thomas E Schmid1,2,3, Steffi Pigorsch1,2,3, Stephanie E Combs1,2,3, Bernhard Haller5, Panagiotis Balermpas6,7, Franz Rödel6,7, Claus Rödel6,7, Emmanouil Fokas6,7, Mechthild Krause8,9,10,11, Annett Linge8,9,10, Fabian Lohaus8,9,10, Michael Baumann8,9,10,12, Inge Tinhofer13,14, Volker Budach13,14, Martin Stuschke15,16, Anca-Ligia Grosu17,18, Amir Abdollahi12, Jürgen Debus12,19,20, Claus Belka3,20,21,22, Cornelius Maihöfer3,20,21,22, David Mönnich23,24,25, Daniel Zips23,24,25, Gabriele Multhoff1,2,3.   

Abstract

Tumor cells frequently overexpress heat shock protein 70 (Hsp70) and present it on their cell surface, where it can be recognized by pre-activated NK cells. In our retrospective study the expression of Hsp70 was determined in relation to tumor-infiltrating CD56+ NK cells in formalin-fixed paraffin embedded (FFPE) tumor specimens of patients with SCCHN (N = 145) as potential indicators for survival and disease recurrence. All patients received radical surgery and postoperative cisplatin-based radiochemotherapy (RCT). In general, Hsp70 expression was stronger, but with variable intensities, in tumor compared to normal tissues. Patients with high Hsp70 expressing tumors (scores 3-4) showed significantly decreased overall survival (OS; p = 0.008), local progression-free survival (LPFS; p = 0.034) and distant metastases-free survival (DMFS; p = 0.044), compared to those with low Hsp70 expression (scores 0-2), which remained significant after adjustment for relevant prognostic variables. The adverse prognostic value of a high Hsp70 expression for OS was also observed in patient cohorts with p16- (p = 0.001), p53- (p = 0.0003) and HPV16 DNA-negative (p = 0.001) tumors. The absence or low numbers of tumor-infiltrating CD56+ NK cells also correlated with significantly decreased OS (p = 0.0001), LPFS (p = 0.0009) and DMFS (p = 0.0001). A high Hsp70 expression and low numbers of tumor-infiltrating NK cells have the highest negative predictive value (p = 0.00004). In summary, a strong Hsp70 expression and low numbers of tumor-infiltrating NK cells correlate with unfavorable outcome following surgery and RCT in patients with SCCHN, and thus serve as negative prognostic markers.
© 2017 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

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Keywords:  Hsp70; IHC; NK cells; SCCHN; prognostic biomarker; retrospective trial

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Year:  2017        PMID: 29235112      PMCID: PMC5873418          DOI: 10.1002/ijc.31213

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


Introduction

The highly conserved, major stress‐inducible Hsp70, also termed HSPA1A, is found in nearly all cellular and subcellular compartments of nucleated cells.1 Hsp70 fulfills a variety of chaperoning functions, such as maintenance of cellular homeostasis2, 3 by assisting folding, maturation and transport of unfolded proteins, and preventing of apoptosis under stressed and non‐stressed conditions.4, 5 Elevated Hsp70 levels are associated with poor prognosis in a variety of tumor entities including osteosarcomas,6, 7 squamous cell carcinoma of the lung,8 lower rectal cancer and hematological diseases.9, 10 Furthermore, tumor in contrast to normal cells, have also been shown to present Hsp70 on their cell surface.11, 12 Membrane localization of Hsp70 on tumor cells is most likely due to a tumor‐specific lipid composition that enables anchorage of Hsp70 in the plasma membrane.13 Depending on its subcellular localization, Hsp70 can fulfill different tasks; on the one hand, it mediates resistance of tumor cells to RCT,14 on the other hand, it serves as a recognition structure for a subtype of natural killer (NK) cells that is able to kill highly aggressive, membrane Hsp70‐positive tumor cells.11, 15 Based on these results, a protocol has been established to activate this NK cell subpopulation by incubating peripheral blood lymphocytes ex vivo with either full length Hsp70 protein, or a peptide derived thereof in combination with low dose IL‐2.16, 17 The immune phenotype of Hsp70 peptide plus IL‐2 activated NK cells has been determined as CD3−CD56brightCD94bright.18 Although CD56bright NK cells are described to secrete pro‐inflammatory cytokines rather than exerting cytotoxicity, these NK cells are able to efficiently eliminate Hsp70 membrane‐positive tumor cells.18 Safety and tolerability of these ex vivo stimulated, autologous NK cells have been demonstrated in a phase I clinical trial.19 Presently a proof‐of‐concept phase II randomized clinical trial is ongoing to study the efficacy of ex vivo Hsp70‐stimulated NK cells in patients with squamous NSCLC in stage IIIA/B after RCT.8, 20 In our study, which is part of the DKTK‐ROG initiative, which aims to identify and validate biomarkers for outcome of RCT in SCCHN,21, 22, 23, 24, 25, 26 we aim to study the role of Hsp70 and tumor‐infiltrating NK cells as prognostic tumor biomarkers. Every year approximately 500,000 new cases are diagnosed worldwide with SCCHN with 4.8% of total cancer incidence and 4.6% cancer mortality.27 Apart from tobacco and alcohol, which are considered as main risk factors for the development of head and neck cancer, infection with human papilloma virus (HPV) has been determined as causally connected to oropharyngeal cancer.28 Due to increasing numbers of HPV infections the incidence for SCCHN is rising especially in younger individuals.29 Patients with locally advanced SCCHN have a 5 year survival rate of 40–60%.27 Given the progress in medicine over the last decades these mortality rates are still not satisfying. Consequently, reliable biomarkers, which are able to predict outcome of therapy at an early time point are urgently needed to stratify patients with respect to prognosis and to guide adaptations for the treatment. An early event in SCCHN carcinogenesis is related to somatic mutations of the protein p16 (chromosome 9p21) that exerts tumor suppressor function by binding to the cyclin D1 CDK4/CDK6 complex, which results in a G1 arrest.30 Silencing of p16 by homozygous deletion, methylation of the promoter and base pair mutations are associated with a more rapid tumor growth.31 However, with respect to SCCHN the role of p16, as a prognostic marker for outcome of RCT, remains a matter of debate.32 Between 40% and 70% of SCCHN contain mutations in the tumor suppressor gene p53.33 An accumulation of p53, which can be induced not only by mutations, but also by other mechanisms, results in invasive tumor growth and radioresistance.34 Although HPV infection is a risk factor for the development of SCCHN, HPV16 DNA‐positive patients show a better clinical outcome compared to their HPV16 DNA‐free counterparts.35 Part of this effect has been attributed to an HPV16‐induced activation of the immune system. In line with this finding, infiltration of tumors with CD8+ cytotoxic T lymphocytes has been found to be associated with an HPV16 DNA‐positive status and a favorable tumor prognosis.25 In addition, higher numbers of CD56+ tumor‐infiltrating NK cells are associated with better prognosis in oropharyngeal squamous cell carcinoma.36 In our study, we aimed to assess the role of Hsp70 either alone or in relationship with HPV16 DNA, p16 and p53 status, and the infiltration of tumors with CD56+ NK cells, as prognostic markers in patients with SCCHN after surgery and RCT.

Patients and Methods

SCCHN patients

Between 2004 and 2012, patients with histologically confirmed SCCHN of the oro‐, hypopharynx and oral cavity were recruited into the study. Patient characteristics are summarized in Table 1. Apart from pN stage (p = 0.020), none of the other clinical parameters summarized in Table 1 show any significant correlation with the Hsp70 status. All patients were treated with radical surgery and postoperative cisplatin‐based RCT. The tumor bed and regional lymph nodes have been irradiated with a median dose of 50.4 Gy and a boost up to a total dose of 66 Gy to the former tumor area. Assessment of clinical responses and treatment planning were performed by CT, MRI or PET/CT scans. The follow‐up period was at least 24 months.
Table 1

Demographic and clinical characteristics of SCCHN patients

Total
Hsp70 scores 0–2%Hsp70 scores 3–4% p‐Value
Gender0.922
Male6544.85739.3
Female128.3117.6
Age (mean ± SD)56.3 ± 10.358.1 ± 7.70.232
Tumor site0.318
Oropharynx4430.34329.7
Hypopharynx96.2117.6
Oral cavity2416.6149.6
pT stage0.960
1–24933.74329.7
3–42819.32517.3
pN stage 0.020*
0–12416.6106.8
2–35336.55840.1
Grading0.771
121.321.3
24128.33322.8
33423.53322.8
Resection margin (ECE)0.717
R04329.74027.5
R13423.42819.4
HPV16 DNA0.277
Positive2517.32819.3
Negative5235.84027.6
p160.271
Positive2617.92920.1
Negative5135.23926.8
p530.055
Positive3725.62215.1
Negative4027.54631.8
Smoking history0.570
Yes6846.96242.7
No96.264.2
CD56+ NK cell infiltration
Low1528.81328.3
High3771.23371.7

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Demographic and clinical characteristics of SCCHN patients Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Formalin‐fixed, paraffin‐embedded (FFPE) sections were obtained from surgical specimen of the tumor from the oro‐, hypopharynx or oral cavity. The oral cavity includes the subsites tongue, floor of mouth, palate and gingival/buccal regions and the oropharynx includes base of the tongue and tonsils. Since this was a multicentre study, the patients were encoded only for the three main anatomic sites oral cavity, oropharynx and hypopharynx. All specimens were centrally acquired together with clinical data, radiotherapy plans, diagnostic images in the DKTK RadPlanBio Platform at the partner site Dresden. A total of 145 patient tumors in UICC stage IVa,b were analyzed for their expression intensity of Hsp70, and the presence of infiltrating CD56+ NK cells was analyzed in 114 tumor sections (intraepithelial, stroma, tumor border) by immunohistochemistry (IHC). The total number of patients in the original study was 221,26 however, serial FFPE sections for Hsp70 staining and NK cell infiltration were available only from 5 (Dresden, Essen, Frankfurt, Munich, Tübingen) DKTK partner sites (Table 1). The multicentre trial was approved by the ethical committees of all 8 DKTK partner sites.

IHC staining and scoring of Hsp70 intensity in tumor sections

Briefly, serial FFPE sections (4 µm) of SCCHN tumor patients (N = 145) were prepared and heated by microwaving for 30 min in target retrieval buffer (DAKO, Wientheid, Germany, cat# S1699) to unmask antibody epitopes. Non‐specific binding was blocked by incubation in protein blocking solution (5% v/v rabbit serum/antibody diluent (REAL antibody diluent, DAKO cat# S2022) for 60 min. Sections were washed in PBS (Sigma‐Aldrich, St Louis, USA) after each step. After an overnight incubation at 4°C with the mouse monoclonal antibody cmHsp70.1 (multimmune GmbH, Munich, Germany; dilution 1:500 in PBS/1% BSA) and another washing step, sections were incubated with Envision+ System HRP‐labelled anti‐mouse polymer (DAKO cat# K4001), followed by a 3,3‐diaminobenzidine (DAB+) chromogen (DAKO cat# K3468) reaction, which was restricted to exactly 4 min for all staining procedures. Nuclei were counterstained with hematoxylin and eosin (H&E). Then sections were embedded in Eukitt (Sigma cat# 03989) mounting medium. Appropriate quality control and quality assurance procedures were implemented including positive (FaDu) and negative (surrounding tissue) controls run with each assay. According to the staining intensities tumor sections were scored into the following categories: very weak (score 0), weak (score 1), intermediate (score 2), strong (score 3) and very strong (score 4). Since all nucleated cells contain Hsp70, a very weak staining pattern (score 0) was also observed in surrounding normal tissues. IHC scoring for Hsp70 intensity was performed by three independent, trained evaluators (SS, GM, NT). All scores were blinded to the outcome status for each tumor specimen. At least 5 non‐overlapping representative tumor fields were evaluated for each section.

IHC staining and scoring of the number of tumor‐infiltrating CD56+ NK cells

For the detection of tumor‐infiltrating CD56+ NK cells the mouse monoclonal antibody directed against all isoforms of CD56 (NCAM, clone 1B6 Novocastra, Newcastle upon Tyne, UK) was used. After antigen retrieval, as described above, staining was performed using standardized DAKO Envision FLEX Peroxidase Blocking reagent (DAKO cat# K800) and the antibody directed against CD56 for 120 min at room temperature. After washing, sections (N = 114) were incubated with Envision+ System HRP‐labelled anti‐mouse polymer (DAKO cat# K4001), followed by a DAB+ chromogen (DAKO cat# K3468) reaction. H&E staining was performed for a visual distinction of the tumor and its microenvironment. All sections were embedded in Eukitt (Sigma cat# 03989) mounting medium. The number of infiltrating CD56+ NK cells was determined by counting of at least five different compartments of the tumor and its microenvironment within an area of at least 0.1 mm2 per slide. The counting of the NK cells was performed at a magnification of ×400. The NK cell counts were determined blinded by three–independent researchers (SS, GM, NT). The total numbers within one area of interest ranged from 0 to 2,000 NK cells within the tumor and its microenvironment. The median number of infiltrating NK cells in an individual area was calculated. The cut‐off point of 50 NK cells was chosen based on visual inspection of all sections. In sections with <50 events the localization of infiltrating NK cells was disperse, whereas sections with >50 events showed a more dense localization of NK cells.

HPV16, p16, p53 analysis

The analysis of the HPV16 status as well as the p16 and p53 staining was performed centrally at the DKTK partner site Dresden. The HPV analysis and genotyping were performed by using the LCD‐Assay HPV‐array HPV 3.5 Kit (Chiron GmbH) after extraction of the genomic DNA, as described previously.28 IHC staining for p16 was performed with the CINtec Immunohistology Kit (Roche). A p16‐positive phenotype was defined if at least 70% of the sample was stained positively as determined by two‐independent researchers.28

Statistics

Distributions of categorical variables within the groups of patients with low and high Hsp70 scores are described by absolute and relative frequencies. For comparisons of these distributions chi‐squared tests were performed. For patients‐ age at diagnosis means and standard deviations are given. Comparisons of the mean were conducted using a two‐sample t‐test. Overall survival (OS), distant metastases‐free survival (DMFS) and local progression‐free survival (LPFS) were calculated from the start of RCT to the day of death. Kaplan–Meier curves are presented for relevant outcomes and groups. Log Rank tests were performed to compare distributions of event times between patients with low and high Hsp70 scores. In addition, univariate Cox regression models were used to determine hazard ratios (HRs) and 95% confidence intervals (CIs). To assess the additional prognostic value of Hsp70 to other prognostic factors,37 multivariable Cox regression models including Hsp70 and relevant prognostic factors were fit to the data for overall survival (OS), local progression‐free survival (LPFS) and distant metastases‐free survival (DMFS). Median follow‐up time was determined using the reverse Kaplan–Meier method for potential follow‐up.38 All statistical tests were performed two‐sided on a significance level of α = 5%. Analyses were performed with statistical software R version 3.3.239 and IBM SPSS Statistics for Windows, version 23 and 24 (IBM Corp, Armonk, NY).

Results

Hsp70 staining intensities in FFPE sections of SCCHN

An incubation of SCCHN tumor sections and the surrounding tissue with cmHsp70.1 monoclonal antibody (mAb) revealed significant differences in the staining intensity. The surrounding epithelial tissue in close proximity to the tumor (Fig. 1 b) always showed a very weak staining intensity (score 0), which is comparable to that of normal head and neck epithelial tissue (Fig. 1 a). Representative FFPE tumor sections of different patients stained with cmHsp70.1 mAb are shown in Figures 1 b–1 f. According to their Hsp70 expression, tumors were scored into groups with very weak to weak (scores 0–1; Figs. 1 b and 1 c), intermediate (score 2; Fig. 1 d), strong (score 3; Fig. 1 e) and very strong (score 4; Fig. 1 f) staining intensity. As an internal reference FFPE sections of xenograft FaDu tumors were co‐stained with each staining procedure (Fig. 1 g). The percentage of tumor sections with a specific staining scores (0–4) are summarized in Figure 1 h.
Figure 1

Representative views of the Hsp70 expression in normal epithelial tissue of the head and neck (a: score 0), and SCCHN tissue with very weak (b: score 0), weak (c: score 1), intermediate (d: score 2), strong (e: score 3) and very strong (f: score 4) staining intensity. As an internal control the staining intensity of a xenograft FaDu tumor is shown (g). The distribution of the different staining scores (0–4) in all 145 tumor sections is represented in (h).

Representative views of the Hsp70 expression in normal epithelial tissue of the head and neck (a: score 0), and SCCHN tissue with very weak (b: score 0), weak (c: score 1), intermediate (d: score 2), strong (e: score 3) and very strong (f: score 4) staining intensity. As an internal control the staining intensity of a xenograft FaDu tumor is shown (g). The distribution of the different staining scores (0–4) in all 145 tumor sections is represented in (h).

Correlation of the Hsp70 staining intensity with OS, LPFS and DMFS

To determine the prognostic value of the Hsp70 expression in relation to OS different Hsp70 staining scores ranging from very weak (0) to very strong (4) have been compared. As summarized in Figure 2 a, increasing Hsp70 scores are associated with an increased mortality. Regarding a dichotomous variable, SCCHN with high Hsp70 staining intensities (scores 3–4, black line) exhibited a significantly lower overall survival (OS; HR = 2.26, p = 0.008; Fig. 2 b, Table 2), local progression‐free survival (LPFS; HR = 1.84, p = 0.034; Table 3) and distant metastases‐free (DMFS; HR = 1.76, p = 0.044; Fig. 2 c, Table 4) than patients with low Hsp70 tumor staining intensity (scores 0–2, gray line). Patients at risk at the different time‐points after start of therapy are shown below each graph. Multivariate analyses of Hsp70 staining intensities after adjustment for other relevant prognostic parameters with OS (Table 2), LPFS (Table 3) and DMFS (Table 4) revealed similar significant results.
Figure 2

Kaplan–Meier analysis of the prognostic value of Hsp70 expression (scores 0–4) with overall survival (OS) and distant metastases‐free survival (DMFS). (a) Increasing Hsp70 expression (scores 0–4) in FFPE tumor sections of SCCHN patients (N = 145) is associated with sequentially decreased OS. Patients at risk with Hsp70 scores 0–4 at the different time‐points after start of therapy ranging from 0 to 96 months are indicated below. (b) Significant correlation of a low (scores 0–2; N = 77) vs. high (scores 3–4; N = 68) Hsp70 expression in FFPE tumor sections of SCCHN patients with OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (c) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with DMFS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph.

Table 2

Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for overall survival (OS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
Hsp70 (scores 3–4 vs. 0–2)2.261.244.12 0.008* 3.621.896.92 0.0001*
Age0.980.961.010.232
Gender (female vs. male)1.240.702.200.454
Tumor site 0.001* 0.072
Oropharynx vs. oral cavity0.400.240.66 0.0004* 0.660.331.330.244
Hypopharynx vs. oral cavity0.330.150.73 0.006* 0.320.120.86 0.023*
pT stage (3–4 vs. 1–2)2.201.373.52 0.001* 2.001.093.65 0.024*
pN stage (2–3 vs. 0–1)1.090.631.890.747
Grading (3 vs. 1–2)0.790.491.280.341
Resection margin (ECE)1.721.062.80 0.030* 2.531.284.99 0.008*
HPV16 DNA (pos vs. neg)0.330.170.62 0.0007* 0.240.080.71 0.010*
p16 (pos vs. neg)0.390.220.70 0.002* 0.510.201.290.155
p53 (pos vs. neg)1.671.042.67 0.033* 0.690.361.330.265
Smoking history (yes vs. no)0.800.541.170.250

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Table 3

Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for local progression‐free survival (LPFS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
Hsp70 (scores 3–4 vs. 0–2)1.841.053.22 0.034* 2.631.454.78 0.002*
Age0.980.961.010.180
Gender (female vs. male)1.540.902.610.113
Tumor site <0.001* 0.088
Oropharynx vs. oral cavity0.390.240.64 0.0002* 0.630.321.220.172
Hypopharynx vs. oral cavity0.350.170.75 0.006* 0.390.160.97 0.042*
pT stage (3–4 vs. 1–2)2.231.423.52 0.0005* 1.941.093.44 0.022*
pN stage (2–3 vs. 0–1)1.100.651.870.730
Grading (3 vs. 1–2)0.750.471.210.243
Resection margin (ECE)1.601.002.540.0501.971.053.70 0.035*
HPV16 DNA (pos vs. neg)0.330.180.61 0.0004* 0.320.120.88 0.028*
p16 (pos vs. neg)0.380.220.67 0.0008* 0.530.221.280.158
p53 (pos vs. neg)1.861.182.92 0.007* 0.900.481.680.774
Smoking history (yes vs. no)0.840.581.220.368

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Table 4

Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for distant metastases‐free survival (DMFS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
Hsp70 (scores 3–4 vs. 0–2)1.761.013.07 0.044* 2.421.344.37 0.003*
Age0.990.971.020.443
Gender (female vs. male)1.060.601.860.842
Tumor site 0.001* 0.629
Oropharynx vs. oral cavity0.400.250.65 0.0002* 0.730.371.420.350
Hypopharynx vs. oral cavity0.550.281.080.0810.880.392.010.763
pT stage (3–4 vs. 1–2)2.191.393.42 0.0006* 1.901.093.31 0.024*
pN stage (2–3 vs. 0–1)1.260.732.140.425
Grading (3 vs. 1–2)0.870.551.380.563
Resection margin (ECE)1.891.183.01 0.008* 2.511.334.75 0.005*
HPV16 DNA (pos vs. neg)0.350.190.63 0.0005* 0.350.130.97 0.044*
p16 (pos vs. neg)0.360.200.63 0.0002* 0.440.181.100.080
p53 (pos vs. neg)1.781.142.78 0.012* 0.860.461.600.631
Smoking history (yes vs. no)0.810.561.170.261

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Kaplan–Meier analysis of the prognostic value of Hsp70 expression (scores 0–4) with overall survival (OS) and distant metastases‐free survival (DMFS). (a) Increasing Hsp70 expression (scores 0–4) in FFPE tumor sections of SCCHN patients (N = 145) is associated with sequentially decreased OS. Patients at risk with Hsp70 scores 0–4 at the different time‐points after start of therapy ranging from 0 to 96 months are indicated below. (b) Significant correlation of a low (scores 0–2; N = 77) vs. high (scores 3–4; N = 68) Hsp70 expression in FFPE tumor sections of SCCHN patients with OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (c) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with DMFS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for overall survival (OS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for local progression‐free survival (LPFS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Univariate and multivariate analysis of Hsp70 and other relevant variables as prognostic factors for distant metastases‐free survival (DMFS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. In a subgroup analysis, the staining intensity of Hsp70 within the tumor was also assessed in combination with the p16, p53 and HPV16 status. Patients with p16‐negative (N = 90; p = 0.001) and p53‐negative (N = 59; p = 0.003) tumors presented a significantly better clinical outcome with respect to OS when the Hsp70 tumor staining intensity was low (scores 0–2, gray line) compared to those with a high (scores 3–4, black line) Hsp70 tumor staining intensity (Figs. 3 a and 3 b). With respect to HPV16, virus DNA‐free patients with a low Hsp70 staining intensity (scores 0–2, gray line) also showed a significantly improved overall survival (N = 92; p = 0.001) compared to those patients with a high tumor staining intensity (scores 3–4, black line; Fig. 3 c).
Figure 3

Kaplan–Meier analysis of the prognostic value of Hsp70 expression (scores 0–2 vs. 3–4) and overall survival (OS) in subgroups of patients with p16‐, p53‐ and HPV16 DNA‐negative tumors. (a) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with p16‐negative tumors (N = 90) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a p16‐negative status at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (b) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with p53‐negative tumors (N = 86) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a p53‐negative status at different time‐points after start of therapy ranging from 0 to 84 months are indicated below the graph. (c) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with HPV16 DNA‐negative tumors (N = 92) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a HPV16 DNA‐negative status at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph.

Kaplan–Meier analysis of the prognostic value of Hsp70 expression (scores 0–2 vs. 3–4) and overall survival (OS) in subgroups of patients with p16‐, p53‐ and HPV16 DNA‐negative tumors. (a) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with p16‐negative tumors (N = 90) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a p16‐negative status at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (b) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with p53‐negative tumors (N = 86) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a p53‐negative status at different time‐points after start of therapy ranging from 0 to 84 months are indicated below the graph. (c) Significant correlation of a low (scores 0–2) vs. high (scores 3–4) Hsp70 expression in FFPE tumor sections of SCCHN patients with HPV16 DNA‐negative tumors (N = 92) and OS. Patients at risk with Hsp70 scores 0–2 vs. 3–4 and a HPV16 DNA‐negative status at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. In summary, a strong Hsp70 staining intensity of the tumor could be identified as an independent negative prognostic factor for OS, freedom of metastases and locoregional control in patients with SCCHN. The negative prognostic value of a strong Hsp70 expression was also observed in patient cohorts with a p16‐, p53‐, HPV16 DNA‐negative tumors that are known to have an adverse prognosis.

Infiltration of CD56+ NK cells in FFPE sections of SCCHN

Since membrane Hsp70 serves as a target for activated NK cells,17 showing a high expression density of the NK marker CD56,40 a CD56‐specific antibody was used to determine the amount of tumor‐infiltrating NK cells. A representative view of tumors with high (upper graph) and low (lower graph) NK cell infiltration is shown in Figure 4 a. White arrows mark the localization of either singular or multiple CD56+ NK cell infiltrations within the tumor and its microenvironment. The data shown in Figure 4 b and Table 5 clearly indicate that low numbers of CD56+ tumor‐infiltrating NK cells have a negative prognostic value for a significantly decreased OS in patients with SCCHN (HR = 0.29, p = 0.0001). Comparable results were obtained for LPFS (HR = 0.35, p = 0.0009) as shown in Table 6. As illustrated in Figure 4 c and Table 7, distant metastases develop significantly earlier in patients with a low tumor‐infiltration of CD56+ NK cells (HR = 0.31, p = 0.0001).
Figure 4

Kaplan–Meier analysis of the prognostic value of infiltrating CD56+ NK cells in FFPE tumor sections of SCCHN patients with overall survival (OS) and distant metastases‐free survival (DMFS). (a) Representative view of SCCHN sections with high (upper graph) and low numbers (lower graph) of infiltrating CD56+ NK cells. Selected singular as well as groups of CD56+ NK cells are marked with white arrows, scale bar, 100 µm. (b) Significant correlation of infiltrating CD56+ NK cells in tumor sections of SCCHN patients (N = 114) and OS. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. Patients at risk with low and high numbers of infiltrating CD56+ NK cells at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (c) Significant correlation of infiltrating CD56+ NK cells in tumor sections of SCCHN patients (N = 114) and DMFS. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. Patients at risk with low and high numbers of infiltrating CD56+ NK cells at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (d) Significant correlation of infiltrating CD56+ NK cells in tumor sections with low (left graph; scores 0–2) and high Hsp70 expression (right graph, scores of 3–4) and OS. Patients at risk with low and high numbers of infiltrating CD56+ NK cells and an Hsp70 scores of 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 84 and 0 to 96 months are indicated below the graph are indicated below each graph. (e) Representative views of serial FFPE sections of tumors with an Hsp70 score of 2 (left graph) and a low number of infiltrating NK cells and an Hsp70 score of 4 (right graph) and a high number of infiltrating NK cells. The insets show a 400× magnification. (f) Significant correlation of tumor‐infiltrating CD56+ NK cells in tumor sections with low (left graph; scores of 0–2) vs. high Hsp70 expression (right graph; scores of 3–4) and DMFS. Patients at risk with low and high numbers of infiltrating CD56+ NK cells and an Hsp70 scores of 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 84 and 0 to 96 months are indicated below the graph are indicated below each graph.

Table 5

Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for overall survival (OS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
CD56 (high vs. low)0.290.150.55 0.0001* 0.270.120.60 0.001*
Tumor site
Oropharynx vs. oral cavity0.860.352.070.732
Hypopharynx vs. oral cavity0.560.152.050.381
pT stage (3–4 vs. 1–2)2.331.124.79 0.022*
Resection margin (ECE)2.280.925.650.075
HPV16 DNA (pos vs. neg)0.290.071.100.070
p16 (pos vs. neg)0.600.201.850.377
p53 (pos vs. neg)1.060.462.480.885

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Table 6

Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for local progression‐free survival (LPFS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
CD56 (high vs. low)0.350.190.65 0.0009* 0.350.170.74 0.005*
Tumor site
Oropharynx vs. oral cavity0.770.321.790.547
Hypopharynx vs. oral cavity0.620.192.020.430
pT stage (3–4 vs. 1–2)2.261.134.53 0.021*
Resection margin (ECE)1.630.723.740.241
HPV16 DNA (pos vs. neg)0.380.111.330.130
p16 (pos vs. neg)0.680.241.950.477
p53 (pos vs. neg)1.390.613.150.437

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Table 7

Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for distant metastases‐free survival (DMFS)

UnivariateMultivariate
HRCIlow CIupp p‐ValueHRCIlow CIupp p‐Value
CD56 (high vs. low)0.310.170.57 0.0001 0.270.130.55 0.0004*
Tumor site
Oropharynx vs. oral cavity0.750.331.700.489
Hypopharynx vs. oral cavity2.430.767.740.135
pT stage (3–4 vs. 1–2)2.061.054.06 0.036*
Resection margin (ECE)2.351.025.42 0.044*
HPV16 DNA (pos vs. neg)0.570.171.950.370
p16 (pos vs. neg)0.490.171.400.184
p53 (pos vs. neg)1.660.733.750.227

Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval.

Bold values marked with * present p‐values <0.05 and are considered as statistically significant.

Kaplan–Meier analysis of the prognostic value of infiltrating CD56+ NK cells in FFPE tumor sections of SCCHN patients with overall survival (OS) and distant metastases‐free survival (DMFS). (a) Representative view of SCCHN sections with high (upper graph) and low numbers (lower graph) of infiltrating CD56+ NK cells. Selected singular as well as groups of CD56+ NK cells are marked with white arrows, scale bar, 100 µm. (b) Significant correlation of infiltrating CD56+ NK cells in tumor sections of SCCHN patients (N = 114) and OS. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. Patients at risk with low and high numbers of infiltrating CD56+ NK cells at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (c) Significant correlation of infiltrating CD56+ NK cells in tumor sections of SCCHN patients (N = 114) and DMFS. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. Patients at risk with low and high numbers of infiltrating CD56+ NK cells at different time‐points after start of therapy ranging from 0 to 96 months are indicated below the graph. (d) Significant correlation of infiltrating CD56+ NK cells in tumor sections with low (left graph; scores 0–2) and high Hsp70 expression (right graph, scores of 3–4) and OS. Patients at risk with low and high numbers of infiltrating CD56+ NK cells and an Hsp70 scores of 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 84 and 0 to 96 months are indicated below the graph are indicated below each graph. (e) Representative views of serial FFPE sections of tumors with an Hsp70 score of 2 (left graph) and a low number of infiltrating NK cells and an Hsp70 score of 4 (right graph) and a high number of infiltrating NK cells. The insets show a 400× magnification. (f) Significant correlation of tumor‐infiltrating CD56+ NK cells in tumor sections with low (left graph; scores of 0–2) vs. high Hsp70 expression (right graph; scores of 3–4) and DMFS. Patients at risk with low and high numbers of infiltrating CD56+ NK cells and an Hsp70 scores of 0–2 vs. 3–4 at different time‐points after start of therapy ranging from 0 to 84 and 0 to 96 months are indicated below the graph are indicated below each graph. Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for overall survival (OS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for local progression‐free survival (LPFS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells and other relevant variables as prognostic factors for distant metastases‐free survival (DMFS) Abbreviations: HR, hazard ratio; CIlow/upp, lower and upper 95% confidence interval. Bold values marked with * present p‐values <0.05 and are considered as statistically significant. Similar results are found in subgroup analysis of tumors with low (scores 0–2) and high Hsp70 expression (scores 3–4). As shown in Figure 4 d, low numbers of CD56+ tumor‐infiltrating NK cells in tumor sections with low (left graph; scores 0–2, p = 0.002) and high (right graph; scores 3–4, p = 0.00004) Hsp70 expression correlate with significantly decreased OS. Representative views of serial sections of tumors with low (score 2, upper left graph) and high (score 4, upper right graph) Hsp70 expression and a low (lower left graph) and high (lower right graph) NK cell infiltration are illustrated in Figure 4 e. Low numbers of tumor‐infiltrating CD56+ NK cells also correlate with a significantly shorter DMFS, as shown in Figure 4 f. The combination of a high Hsp70 expression (scores 3–4) and a low NK cell infiltration shows better negative prognostic value (p = 0.0004; Fig. 4 f, right graph) than a low Hsp70 expression (scores 0–2) and a low NK cell infiltration (p = 0.014; Fig. 4 f, left graph) although both values were statistical significant. Univariate and multivariate analysis of tumor‐infiltrating CD56+ NK cells in combination with OS (Table 5), LPFS (Table 6) and DMFS (Table 7) revealed that both markers Hsp70 and NK cells have prognostic value. Analysis of the prognostic value of the CD56/Hsp70 marker combination in patients with differential HPV16 status revealed that a high NK cell infiltration positively correlated with an improved OS in HPV16 DNA‐negative (N = 92, p = 0.004; Fig. 5 a), but not in HPV16 DNA‐positive (N = 53; Fig. 5 b) patient cohort, irrespective of the Hsp70 status. The lack of statistical significance in the HPV16 DNA‐positive patient cohort might be explained by the low number of patients per subgroup.
Figure 5

Kaplan–Meier analysis of the prognostic value of the CD56+ NK cell/Hsp70 marker combination in FFPE tumor sections of HPV16 DNA‐negative (N = 92) and ‐positive (N = 53) SCCHN patients with overall survival (OS). (a) Significant correlation of infiltrating CD56+ NK cells in tumor sections of HPV16 DNA‐negative SCCHN patients (N = 92) and OS in sections with a low (scores 0–2, p = 0.004) and high (scores 3–4, p = 0.004) Hsp70 expression. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. (b) No significant correlation of infiltrating CD56+ NK cells in tumor sections of HPV16 DNA‐positive SCCHN patients (N = 53) and OS in sections with a low (scores 0–2) and high (scores 3–4) Hsp70 expression. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells.

Kaplan–Meier analysis of the prognostic value of the CD56+ NK cell/Hsp70 marker combination in FFPE tumor sections of HPV16 DNA‐negative (N = 92) and ‐positive (N = 53) SCCHN patients with overall survival (OS). (a) Significant correlation of infiltrating CD56+ NK cells in tumor sections of HPV16 DNA‐negative SCCHN patients (N = 92) and OS in sections with a low (scores 0–2, p = 0.004) and high (scores 3–4, p = 0.004) Hsp70 expression. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells. (b) No significant correlation of infiltrating CD56+ NK cells in tumor sections of HPV16 DNA‐positive SCCHN patients (N = 53) and OS in sections with a low (scores 0–2) and high (scores 3–4) Hsp70 expression. Black line represents high and gray lines represent low numbers of infiltrating CD56+ NK cells.

Discussion

The search for tumor‐specific biomarkers that are frequently overexpressed in malignantly transformed cells resulted in the identification of the highly conserved, major stress‐inducible Hsp70.41 Apart from elevated cytosolic expression levels and in contrast to normal cells, tumor cells frequently present Hsp70 on their cell surface.11, 12, 42 It is well accepted that high cytosolic43 and membrane14 expression levels of Hsp70 are associated with resistance to therapy and thus might increase tumorigenesis. Previous work has indicated that Hsp70 is also expressed on the membrane of SCCHN.44 In our study, we addressed the question of the role of cytosolic Hsp70 as a prognostic tumor marker in patients with SCCHN after surgery and postoperative radiotherapy. To directly compare the Hsp70 staining intensity in different tumors, FFPE sections with identical thickness (4 µm) have to be stained using the exact same staining protocol together with an internal reference. A comparison of the Hsp70 expression in all SCCHN sections following this procedure revealed major differences in the Hsp70 staining intensity ranging from very weak to very strong. Our data suggest that an accumulation of Hsp70 within the tumor tissue positively correlates with a decreased OS, PFS and DMFS after surgery and RCT. Therefore, a high Hsp70 expression serves as a negative prognostic marker for patients with SCCHN. This negative prognostic value of Hsp70 is in line with reports demonstrating anti‐apoptotic and pro‐tumorigenic activities for Hsp70.43, 45 Every nucleated cell type expresses Hsp70 at low levels in the cytosol, but nearly all tumor types show a significantly enhanced Hsp70 expression. Therefore, normal tissues as well as the tumor microenvironment cannot be expected to be completely negative for Hsp70. A comparison of membrane‐bound and cytosolic Hsp70 levels in tumor cells revealed that approximately 70–90% of the total Hsp70 is residing in the cytosol.41 Together with the finding that cmHsp70.1 mAb42 detects both, membrane‐bound and cytosolic Hsp70, it is not possible to distinguish both localizations in FFPE sections. A number of studies indicated that a HPV16 DNA‐positive status is associated with favorable outcome,46 although HPV16 has been determined as a co‐founding factor that can initiate SCCHN. This finding might be related to the immunostimulatory activity of the virus to induce anti‐tumor‐specific immune responses. However, a positive correlation of HPV16 has also been found between CTLA‐4 expression, Treg infiltration and HPV16 DNA positivity, which might exert immunosuppressive effects.47 Therefore, in combination with RCT blocking of immune checkpoint inhibitors might be beneficial to overcome immunosuppression in SCCHN. Apart from an involvement of the immune system additional factors such as smaller tumor size, lower amount of CD44+/CD98+ tumor stem cells,48 higher sensitivity to RCT,26 less tumor hypoxia, (E6)‐induced inhibition of p53,49, 50 younger patient age and less toxin (tobacco, alcohol) intake are also involved in a favorable outcome.26, 36 We also could demonstrate that in patients with HPV16 DNA‐free tumors the Hsp70 staining intensity still could separate two subgroups with respect to outcome. Patients with HPV16‐negative tumors and low Hsp70 staining intensity (scores 0–2) showed a significantly improved OS compared to those with a high Hsp70 staining intensity (scores 3–4). With respect to the p16 and p53 status,30, 31, 32 patients with p16‐ (N = 90) and p53‐negative SCCHN tumors presented a significantly worse clinical outcome when the Hsp70 tumor staining intensity was high. Therefore, we assume that Hsp70 in addition to p16 and p53 might provide additional prognostic value. Depending on the subcellular, membrane‐bound and extracellular localization Hsp70 mediates different functions. However, it is worth mentioning that the membrane status of Hsp70 cannot be determined by IHC, since most tumor cells show a very strong Hsp70 cytosolic staining41 that does not allow to detect the faint membrane staining pattern in FFPE sections. Despite these limitations, we addressed the question whether a strong cytosolic Hsp70 expression might affect infiltration of CD56+ NK cells into the tumor tissue and whether a strong infiltration of NK cells might also be associated with favorable clinical outcome, as previously shown for CD8+ cytotoxic lymphocytes.25 A correlation of OS with high numbers of infiltrating NK cells supports the hypothesis that apart from the adaptive also the innate immune system plays an important role in the outcome of surgery and RCT in SCCHN.44 Indeed, patients with high numbers of tumor‐infiltrating CD56+ NK cells show superior OS.36 However, overall life expectancy is significantly lower in the group of patients bearing tumors with high cytosolic Hsp70 levels. This might be explained by high intracellular Hsp70 levels that impair NK cell and RCT‐mediated tumor cell apoptosis by inhibiting lysosomal permeabilization.45 The anti‐apoptotic effect of intracellular Hsp70 might overrule beneficial effects mediated by tumor‐infiltrating NK cells. A high number of tumor‐infiltrating NK cells results not only in an improved OS but also in DMFS. This finding might be due to the fact that the Hsp70 membrane density is often stronger on metastases compared to primary tumors,51 and thus might serve as a target for the cytolytic attack by NK cells. In contrast to intracellular Hsp70, membrane‐bound and extracellular residing Hsp70 have been found to stimulate anti‐tumor immunity.52 Since normal cells do not present Hsp70 on their cell surface, membrane‐bound Hsp70 can serve as a tumor‐selective target for Hsp70 peptide‐activated NK cells.16, 17 Extracellular Hsp70 released by viable tumor cells53 that chaperones tumor‐derived peptides might be able to stimulate the cytolytic activity of CD8+ T lymphocytes. A previous study of our group revealed that a high membrane expression of Hsp70 on primary tumor cells correlated with high soluble Hsp70 levels in patients with SSCHN.54 These data are in line with the finding that high cytosolic Hsp70 levels are associated with a high membrane Hsp70 expression and high soluble Hsp70 levels in primary glioblastoma.55 In an ongoing prospective study extracellular, membrane‐bound and cytosolic Hsp70 levels will be assessed in SCCHN patients by using the lipHsp70 ELISA,53 flow cytometry and IHC together with the immunophenotype of peripheral blood lymphocytes. Our study will allow a better understanding of the role of Hsp70 as a diagnostic marker and its interaction with the immune system.
  53 in total

1.  Heat-shock protein 70 inhibits apoptosis by preventing recruitment of procaspase-9 to the Apaf-1 apoptosome.

Authors:  H M Beere; B B Wolf; K Cain; D D Mosser; A Mahboubi; T Kuwana; P Tailor; R I Morimoto; G M Cohen; D R Green
Journal:  Nat Cell Biol       Date:  2000-08       Impact factor: 28.824

2.  Targeting HSP70 and GRP78 in canine osteosarcoma cells in combination with doxorubicin chemotherapy.

Authors:  Jonathan Asling; Jodi Morrison; Anthony J Mutsaers
Journal:  Cell Stress Chaperones       Date:  2016-09-08       Impact factor: 3.667

3.  CD8+ tumour-infiltrating lymphocytes in relation to HPV status and clinical outcome in patients with head and neck cancer after postoperative chemoradiotherapy: A multicentre study of the German cancer consortium radiation oncology group (DKTK-ROG).

Authors:  Panagiotis Balermpas; Franz Rödel; Claus Rödel; Mechthild Krause; Annett Linge; Fabian Lohaus; Michael Baumann; Inge Tinhofer; Volker Budach; Eleni Gkika; Martin Stuschke; Melanie Avlar; Anca-Lidia Grosu; Amir Abdollahi; Jürgen Debus; Christine Bayer; Stefan Stangl; Claus Belka; Steffi Pigorsch; Gabriele Multhoff; Stephanie E Combs; David Mönnich; Daniel Zips; Emmanouil Fokas
Journal:  Int J Cancer       Date:  2015-07-30       Impact factor: 7.396

4.  Differential expression of key cell cycle genes (p16/cyclin D1/pRb) in head and neck squamous carcinomas.

Authors:  S Lai; A K El-Naggar
Journal:  Lab Invest       Date:  1999-03       Impact factor: 5.662

5.  Cancer stem cell enrichment marker CD98: a prognostic factor for survival in patients with human papillomavirus-positive oropharyngeal cancer.

Authors:  Michelle M Rietbergen; Sanne R Martens-de Kemp; Elisabeth Bloemena; Birgit I Witte; Arjen Brink; Robert J Baatenburg de Jong; C René Leemans; Boudewijn J M Braakhuis; Ruud H Brakenhoff
Journal:  Eur J Cancer       Date:  2013-12-04       Impact factor: 9.162

6.  The incidence of p53 mutations increases with progression of head and neck cancer.

Authors:  J O Boyle; J Hakim; W Koch; P van der Riet; R H Hruban; R A Roa; R Correo; Y J Eby; J M Ruppert; D Sidransky
Journal:  Cancer Res       Date:  1993-10-01       Impact factor: 12.701

7.  Patient survival by Hsp70 membrane phenotype: association with different routes of metastasis.

Authors:  Karin Pfister; Jürgen Radons; Raymonde Busch; James G Tidball; Michael Pfeifer; Lutz Freitag; Horst-Jürgen Feldmann; Valeria Milani; Rolf Issels; Gabriele Multhoff
Journal:  Cancer       Date:  2007-08-15       Impact factor: 6.860

8.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

9.  Role of membrane Hsp70 in radiation sensitivity of tumor cells.

Authors:  Naoya Murakami; Annett Kühnel; Thomas E Schmid; Katarina Ilicic; Stefan Stangl; Isabella S Braun; Mathias Gehrmann; Michael Molls; Jun Itami; Gabriele Multhoff
Journal:  Radiat Oncol       Date:  2015-07-22       Impact factor: 3.481

10.  REporting recommendations for tumour MARKer prognostic studies (REMARK).

Authors:  L M McShane; D G Altman; W Sauerbrei; S E Taube; M Gion; G M Clark
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

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  23 in total

Review 1.  Immune modulatory effects of radiotherapy as basis for well-reasoned radioimmunotherapies.

Authors:  Michael Rückert; Lisa Deloch; Rainer Fietkau; Benjamin Frey; Markus Hecht; Udo S Gaipl
Journal:  Strahlenther Onkol       Date:  2018-03-02       Impact factor: 3.621

2.  Successful secondary radical operation on unretractable metastatic platinum-sensitive recurrent ovarian cancer by immunotherapy: a case report.

Authors:  Li Sun; Hua Li; Sulan Wei; Meng Yang; Shaoqiong Deng
Journal:  Ann Transl Med       Date:  2022-06

Review 3.  Membrane-Associated Heat Shock Proteins in Oncology: From Basic Research to New Theranostic Targets.

Authors:  Maxim Shevtsov; Zsolt Balogi; William Khachatryan; Huile Gao; László Vígh; Gabriele Multhoff
Journal:  Cells       Date:  2020-05-20       Impact factor: 6.600

4.  Prognostic Significance of Tumor-Infiltrating Natural Killer Cells in Solid Tumors: A Systematic Review and Meta-Analysis.

Authors:  Shuo Zhang; Weijian Liu; Binwu Hu; Peng Wang; Xiao Lv; Songfeng Chen; Zengwu Shao
Journal:  Front Immunol       Date:  2020-07-02       Impact factor: 7.561

5.  Monitoring HSP70 exosomes in cancer patients' follow up: a clinical prospective pilot study.

Authors:  Gaëtan Chanteloup; Marine Cordonnier; Nicolas Isambert; Aurélie Bertaut; Alice Hervieu; Audrey Hennequin; Maxime Luu; Sylvie Zanetta; Bruno Coudert; Leila Bengrine; Isabelle Desmoulins; Laure Favier; Aurélie Lagrange; Pierre-Benoit Pages; Ivan Gutierrez; Jeanine Lherminier; Laure Avoscan; Clémentine Jankowski; Cédric Rébé; Angélique Chevriaux; Marie-Martine Padeano; Charles Coutant; Sylvain Ladoire; Sylvain Causeret; Laurent Arnould; Céline Charon-Barra; Vanessa Cottet; Julie Blanc; Christine Binquet; Marc Bardou; Carmen Garrido; Jessica Gobbo
Journal:  J Extracell Vesicles       Date:  2020-05-20

6.  Postoperative (chemo) radiation in patients with squamous cell cancers of the head and neck - clinical results from the cohort of the clinical cooperation group "Personalized Radiotherapy in Head and Neck Cancer".

Authors:  Cornelius Maihoefer; Lars Schüttrumpf; Corinna Macht; Ulrike Pflugradt; Julia Hess; Ludmila Schneider; Christine Woischke; Axel Walch; Philipp Baumeister; Thomas Kirchner; Horst Zitzelsberger; Claus Belka; Ute Ganswindt
Journal:  Radiat Oncol       Date:  2018-07-03       Impact factor: 3.481

7.  Propofol improves the function of natural killer cells from the peripheral blood of patients with esophageal squamous cell carcinoma.

Authors:  Min Zhou; Junchao Dai; Yu Zhou; Jian Wu; Tao Xu; Denglian Zhou; Xiaobin Wang
Journal:  Exp Ther Med       Date:  2018-05-08       Impact factor: 2.447

8.  Increased heat shock protein 70 (Hsp70) serum levels and low NK cell counts after radiotherapy - potential markers for predicting breast cancer recurrence?

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Journal:  Radiat Oncol       Date:  2019-05-10       Impact factor: 3.481

9.  Impact of HPV Infection on the Immune System in Oropharyngeal and Non-Oropharyngeal Squamous Cell Carcinoma: A Systematic Review.

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Review 10.  Laryngeal Tumor Microenvironment.

Authors:  Georgia Karpathiou; Jean Marc Dumollard; Michel Peoc'h
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

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